AI+ Security Practitioner™

This certification validates foundational knowledge of AI-driven cybersecurity concepts and assesses understanding of security principles, threats, and controls. The exam evaluates competency in applying core cybersecurity knowledge within AI-enabled environments.

نظرة عامة ما الذي ستتعلمه وحدات الشهادة الشهادة فرص العمل الأسئلة الشائعة المتطلبات الأساسية تفاصيل الامتحان مخطط الامتحان

نظرة عامة سريعة: نظرة عامة على الدورة التدريبية والامتحان

فئة	أمن الذكاء الاصطناعي, جميع الدورات, متوفر الآن
اسم البرنامج	AI+ Security Practitioner™
مدة	بقيادة مدرب:5 days (live or virtual) \| يسير بخطى ذاتية:40 hours of content
المتطلبات الأساسية	Basic understanding of AI and cybersecurity concepts, including security principles and terminology. Knowledge of security operations such as threat detection, risk management, vulnerability assessment, and incident response. Familiarity with networking, systems, cloud environments, and security controls. Understanding data protection, privacy, compliance, and secure data handling practices. Basic programming and automation awareness for security workflows. Awareness of responsible AI, security governance, and AI-powered security tools.
تنسيق الامتحان	50 questions, 70% passing, 90 minutes, online proctored exam

وحدات الشهادات

Module 1: Computing, Linux, and Operating System Foundations

You will learn about computer systems, operating systems, Linux administration, file systems, commands, user management, permissions, authentication, and access control concepts.

Module 2: Networking Fundamentals and Traffic Analysis

You will learn networking concepts, IP addressing, protocols, TCP/IP communication, DNS, network security, traffic analysis, firewalls, IDS/IPS, and VPN technologies.

Module 3: Python for Security and Automation

You will learn Python programming fundamentals and how to use scripting for security automation, log analysis, data processing, and efficient security workflows.

Module 4: Cybersecurity Foundations and Threat Landscape

You will learn cybersecurity principles, risks, vulnerabilities, attack surfaces, security controls, common cyber threats, and industry security frameworks.

Module 5: Cryptography, Authentication, and Identity Security

You will learn encryption, hashing, digital signatures, TLS security, authentication methods, identity management, access controls, and identity protection practices.

Module 6: Introduction to Artificial Intelligence and Machine Learning

You will learn AI, ML, and Deep Learning fundamentals, learning approaches, ML lifecycle, datasets, model evaluation, and AI applications in cybersecurity.

Module 7: AI Applied to Security Detection and Threat Hunting

You will learn AI-based threat detection, behavioral analytics, anomaly detection, threat intelligence, threat hunting, MITRE ATT&CK mapping, and AI-assisted SOC operations.

Module 8: AI Security, LLM Security, and Responsible AI

You will learn LLMs, Generative AI, AI copilots, RAG, OWASP LLM security risks, AI vulnerabilities, governance, and responsible AI practices.

Module 9: Offensive Security for AI Systems

You will learn AI threat modeling, attack surfaces, adversarial attacks, STRIDE methodology, AI vulnerabilities, red teaming, and security testing approaches.

Module 10: Security Operations, Incident Response, and Malware Analysis

You will learn about SOC operations, SIEM concepts, incident response, malware analysis, threat investigation, and AI-assisted security operations.

Module 11: Governance, Compliance, and Ethical AI Security

You will learn security governance, risk management, AI governance, compliance, privacy principles, and responsible AI security practices.

Module 12: Capstone Project — AI-Driven Security Operations and Defense

You will apply cybersecurity skills through an end-to-end AI security project involving threat analysis, AI risk assessment, incident response, and professional security reporting.

أكمل الدورة واحصل على الشهادة

فرص العمل في القطاع

AI Security Analyst

Protect AI systems by identifying vulnerabilities, monitoring threats, and implementing security controls across AI applications.

Cybersecurity Analyst

Monitor security events, analyze cyber threats, and safeguard enterprise networks and AI-powered environments.

SOC Analyst

Detect, investigate, and respond to security incidents using Security Operations Center (SOC) tools and AI-driven monitoring solutions.

Threat Hunter

Proactively identify advanced cyber threats, uncover hidden attacks, and strengthen organizational security through continuous threat hunting.

Security Engineer

Design, implement, and maintain secure infrastructure, applications, and AI systems to protect against evolving cyber risks.

AI Risk Specialist

Assess AI-related security risks, ensure regulatory compliance, and develop governance frameworks for responsible AI adoption.

Incident Response Analyst

Investigate cybersecurity incidents, contain threats, and coordinate recovery efforts to minimize business impact and improve resilience.

الأسئلة الشائعة

What does this course cover?

Who can take this course?

What is the exam format for this certification?

What skills will I gain from this course?

What tools will I explore during the course?

المتطلبات الأساسية

Basic understanding of AI and cybersecurity concepts, including security principles and terminology.
Knowledge of security operations such as threat detection, risk management, vulnerability assessment, and incident response.
Familiarity with networking, systems, cloud environments, and security controls.
Understanding data protection, privacy, compliance, and secure data handling practices.
Basic programming and automation awareness for security workflows.
Awareness of responsible AI, security governance, and AI-powered security tools.

تفاصيل الامتحان

درجة النجاح

70%

شكل

50 أسئلة اختيار من متعدد/إجابات متعددة

مخطط الامتحان

Computing, Linux & Operating System Foundations 6%

Networking Fundamentals and Traffic Analysis 9%

Python for Security and Automation 9%

Cybersecurity Foundations and Threat Landscape 9%

Cryptography, Authentication & Identity Security 9%

Introduction to Artificial Intelligence and Machine Learning 9%

AI Applied to Security Detection and Threat Hunting 9%

AI Security, LLM Security and Responsible AI 9%

Offensive Security for AI Systems 8%

Security Operations, Incident Response and Malware Analysis 18%

Governance, Compliance and Ethical AI Security 8%

Capstone Project — AI-Driven Security Operations and Defense 8%

التعلم الذاتي عبر الإنترنت

التعلم الذاتي عبر الإنترنت: 40 hours of content

سعر: $195

التعليم عبر الإنترنت بقيادة مدرب

التعليم عبر الإنترنت بقيادة مدرب: 5 days (live or virtual)

الأدوات الأساسية للذكاء الاصطناعي التي تم تغطيتها

Scikit-learn
TensorFlow
PyTorch
Kali Linux
Wireshark
Nmap
Wazuh
Splunk
OWASP ZAP